Artificial Intelligence & Machine Learning Architect
USA LA Home Office (LAHOME), United States
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General Dynamics Information Technology
Delivering technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community.Type of Requisition:
PipelineClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
BI Full 6C (T4)Job Family:
CloudJob Qualifications:
Skills:
Artificial Intelligence (AI), Cloud Development, Machine LearningCertifications:
NoneExperience:
10 + years of related experienceUS Citizenship Required:
NoJob Description:
Own the opportunity as an AI/ML Architect and help ensure the mission is never interrupted. At GDIT, we deliver clarity with our cloud solutions and provide meaningful work. Your work will be an important part of transforming our clients for the modern age and help them face any obstacle.
The Case Management Modernization (CMM) Program is an initiative to support the Administrative Office of the US Courts (AO) develop a modern cloud-based solution to support all 204+ federal courts across the United States. The AI/ML Architect will work as part of an agile development team to build and support the modernization of enterprise-class software applications.
RESPONSIBILITIES:
- Define, document, and maintain a scalable, modular AI/ML architecture that aligns with enterprise cloud strategy and product requirements for the CMM initiative
- Architect and implement end-to-end AI/ML pipelines including data ingestion, feature engineering, model training, deployment, monitoring, and retraining.
- Integrate MLOps best practices for continuous integration, delivery, and lifecycle management of machine learning models
- Ensure multi-tenant and multi-region AI/ML workloads are elastic, highly available, and cost-efficient
- Leverage Infrastructure-as-Code (IaC) tools to provision and manage cloud-based AI/ML infrastructure in accordance with federal compliance and security standards
- Design and support reusable, secure, and performant AI/ML services and APIs to be consumed by enterprise applications
- Conduct model validation and optimization in cloud environments, ensuring responsible AI practices, fairness, and transparency
- Maintain AI/ML architecture documentation and update artifacts per sprint cycles or as changes occur
- Support the inclusion of AI/ML metrics, resource utilization, and performance KPIs in technical dashboards and reports
- Guide teams on the selection and integration of third-party ML tools, frameworks, or SaaS offerings in a secure and compliant manner
REQUIRED EXPERIENCE & QUALIFICATIONS:
- Master's of Arts or Science in related field
- 12+ years of specialized experience in information systems required
- Experience may be considered in lieu of degree as follows: HS (18+ years), AA/AS (16+ years), BA/BS (14+ years), Doctorate Degree/Ph.D. (11+ years)
- Proven success in architecting and deploying ML workflows in cloud environments (AWS SageMaker, Azure ML, GCP Vertex AI)
- Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, or Keras
- Strong programming skills in Python, with experience in containerization (Docker) and orchestration (Kubernetes) for ML workloads
- Experience with MLOps tools (MLflow, Kubeflow, TFX, Airflow) and CI/CD integration for model deployment
- Familiarity with federal data governance, security, and privacy standards, including JISF, NIST 800-53, and FedRAMP
- Proficient in using IaC tools such as Terraform, CDK, or CloudFormation to automate cloud ML infrastructure
- Experience with multi-tenant, distributed systems, and cloud-native architecture patterns
- Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional ML Engineer, or equivalent preferred
GDIT Is Your Place:
- 401K with company match
- Comprehensive health and wellness packages
- Internal mobility team dedicated to helping you own your career
- Professional growth opportunities including paid education and certifications
- Rest and recharge with paid vacation and holidays
Scheduled Weekly Hours:
40Travel Required:
NoneTelecommuting Options:
RemoteWork Location:
Any Location / RemoteAdditional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events atEqual Opportunity Employer / Individuals with Disabilities / Protected VeteransTags: Agile Airflow APIs Architecture AWS Azure CI/CD CloudFormation Consulting Data governance Distributed Systems Docker Engineering Feature engineering GCP Keras KPIs Kubeflow Kubernetes Machine Learning MLFlow ML infrastructure ML models MLOps Model deployment Model training Pipelines Privacy Python PyTorch Responsible AI SageMaker Scikit-learn Security TensorFlow Terraform TFX Vertex AI XGBoost
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Health care Insurance Medical leave Parental leave Team events
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